Please use this identifier to cite or link to this item: http://dx.doi.org/10.25673/119138
Title: Probing the conformational space of biomolecules using large scale molecular dynamics simulation
Author(s): Kunze, ThomasLook up in the Integrated Authority File of the German National Library
Referee(s): Sebastiani, DanielLook up in the Integrated Authority File of the German National Library
Kästner, JohannesLook up in the Integrated Authority File of the German National Library
Granting Institution: Martin-Luther-Universität Halle-Wittenberg
Issue Date: 2025
Extent: 1 Online-Ressource (ix, 88 Seiten)
Type: HochschulschriftLook up in the Integrated Authority File of the German National Library
Type: PhDThesis
Exam Date: 2025-08-20
Language: English
URN: urn:nbn:de:gbv:3:4-1981185920-1210945
Abstract: This thesis addresses the topic of peptide structure formation and the computational generation of plausible conformations for these systems. Although the value of this concept may appear self-evident, it has the potential to be applied in a wide range of contexts. Potential avenues for further development include applications in bio-materials, medication, and disease understanding. Given that minor alterations to proteins and peptides can result in markedly disparate chemical and biochemical behaviours, it is beneficial to utilise computational techniques to gain insight into specific behaviours. The selection of an appropriate computational method is often challenging, given the wide range of available options, which differ greatly in terms of accuracy and computational cost. In certain instances, it may not be feasible to sacrifice precision in order to calculate larger molecules. In this thesis, we propose a novel approach to the unification of precision and affordable computational cost.
URI: https://opendata.uni-halle.de//handle/1981185920/121094
http://dx.doi.org/10.25673/119138
Open Access: Open access publication
License: (CC BY-NC-ND 4.0) Creative Commons Attribution NonCommercial NoDerivatives 4.0(CC BY-NC-ND 4.0) Creative Commons Attribution NonCommercial NoDerivatives 4.0
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